Mode in Python – Most Common Value in List & DataFrame (2 Examples)

my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4]            # Constructing a list in Python
print(my_lt)
# [10, 6, 2, 2, 15, 20, 3, 7, 4]

my_lt = [10, 6, 2, 2, 15, 20, 3, 7, 4] # Constructing a list in Python print(my_lt) # [10, 6, 2, 2, 15, 20, 3, 7, 4]

import statistics                                 # Load statistics

import statistics # Load statistics

print(statistics.mode(my_lt))                     # Computing the mode of a list
# 2

print(statistics.mode(my_lt)) # Computing the mode of a list # 2

import pandas as pd                               # Load pandas

import pandas as pd # Load pandas

my_df = pd.DataFrame({'A':[6, 1, 8, 1, 3, 8, 1],  # Constructing a pandas DataFrame
                      'B':[6, 1, 8, 5, 3, 8, 9]})
print(my_df)
#    A  B
# 0  6  6
# 1  1  1
# 2  8  8
# 3  1  5
# 4  3  3
# 5  8  8
# 6  1  9

my_df = pd.DataFrame({'A':[6, 1, 8, 1, 3, 8, 1], # Constructing a pandas DataFrame 'B':[6, 1, 8, 5, 3, 8, 9]}) print(my_df) # A B # 0 6 6 # 1 1 1 # 2 8 8 # 3 1 5 # 4 3 3 # 5 8 8 # 6 1 9

print(my_df.mode())                               # Computing the mode of all columns
#    A  B
# 0  1  8

print(my_df.mode()) # Computing the mode of all columns # A B # 0 1 8